Pair Trading Strategy – Statistical Arbitrage on Cash Stocks coded in Python by Jonathan Narváez as part of the EPAT™ coursework at QuantInsti®....
A webinar on Classification of Quantitative Trading Strategies...
The effectiveness of the segregation is determined with the sample data that has the human and HFT algo that has the human and HFT algo order details....
Bitcoin is a first cryptocurrency that is decentralized, meaning one government or organization cannot control or regularize this, instead Bitcoin currency is managed by public....
This article covers the popular Quantiacs platform and the Python toolbox using which you can create, backtest and implement algorithmic trading strategies....
The conference featured expert workshops and talks on how one can overcome barriers to algorithmic trading, quantitative finance, and machine learning....
An exclusive conversation with a database research expert who decided to change his career to algorithmic research and EPAT™ helped him....
The article explains backtesting of the “52-Weeks High Effect in Stocks” trading strategy in R. The details of the strategy can be found on Quantpedia site....
Learn how to combine different quantitative strategies to create a multi-strategy portfolio, learn portfolio optimization and the benefits offered....
A webinar on Introduction to Machine Learning for Quantitative Finance...